Cargando…
A soil productivity system reveals most Brazilian agricultural lands are below their maximum potential
Food production is extremely dependent on the soil. Brazil plays an important role in the global food production chain. Although only 30% of the total Brazilian agricultural areas are used for crop and livestock, the full soil production potential needs to be evaluated due to the environmental and l...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10465562/ https://www.ncbi.nlm.nih.gov/pubmed/37644055 http://dx.doi.org/10.1038/s41598-023-39981-y |
_version_ | 1785098695323156480 |
---|---|
author | Greschuk, Lucas T. Demattê, José A. M. Silvero, Nélida E. Q. Rosin, Nícolas Augusto |
author_facet | Greschuk, Lucas T. Demattê, José A. M. Silvero, Nélida E. Q. Rosin, Nícolas Augusto |
author_sort | Greschuk, Lucas T. |
collection | PubMed |
description | Food production is extremely dependent on the soil. Brazil plays an important role in the global food production chain. Although only 30% of the total Brazilian agricultural areas are used for crop and livestock, the full soil production potential needs to be evaluated due to the environmental and legal impossibility to expand agriculture to new areas. A novel approach to assess the productive potential of soils, called “SoilPP” and based on soil analysis (0–100 cm) - which express its pedological information - and machine learning is presented. Historical yields of sugarcane and soybeans were analyzed, allowing to identify where it is still possible to improve crop yields. The soybean yields were below the estimated SoilPP in 46% of Brazilian counties and could be improved by proper management practices. For sugarcane, 38% of areas can be improved. This technique allowed us to understand and map the food yield situation over large areas, which can support farmers, consultants, industries, policymakers, and world food security planning. |
format | Online Article Text |
id | pubmed-10465562 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-104655622023-08-31 A soil productivity system reveals most Brazilian agricultural lands are below their maximum potential Greschuk, Lucas T. Demattê, José A. M. Silvero, Nélida E. Q. Rosin, Nícolas Augusto Sci Rep Article Food production is extremely dependent on the soil. Brazil plays an important role in the global food production chain. Although only 30% of the total Brazilian agricultural areas are used for crop and livestock, the full soil production potential needs to be evaluated due to the environmental and legal impossibility to expand agriculture to new areas. A novel approach to assess the productive potential of soils, called “SoilPP” and based on soil analysis (0–100 cm) - which express its pedological information - and machine learning is presented. Historical yields of sugarcane and soybeans were analyzed, allowing to identify where it is still possible to improve crop yields. The soybean yields were below the estimated SoilPP in 46% of Brazilian counties and could be improved by proper management practices. For sugarcane, 38% of areas can be improved. This technique allowed us to understand and map the food yield situation over large areas, which can support farmers, consultants, industries, policymakers, and world food security planning. Nature Publishing Group UK 2023-08-29 /pmc/articles/PMC10465562/ /pubmed/37644055 http://dx.doi.org/10.1038/s41598-023-39981-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Greschuk, Lucas T. Demattê, José A. M. Silvero, Nélida E. Q. Rosin, Nícolas Augusto A soil productivity system reveals most Brazilian agricultural lands are below their maximum potential |
title | A soil productivity system reveals most Brazilian agricultural lands are below their maximum potential |
title_full | A soil productivity system reveals most Brazilian agricultural lands are below their maximum potential |
title_fullStr | A soil productivity system reveals most Brazilian agricultural lands are below their maximum potential |
title_full_unstemmed | A soil productivity system reveals most Brazilian agricultural lands are below their maximum potential |
title_short | A soil productivity system reveals most Brazilian agricultural lands are below their maximum potential |
title_sort | soil productivity system reveals most brazilian agricultural lands are below their maximum potential |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10465562/ https://www.ncbi.nlm.nih.gov/pubmed/37644055 http://dx.doi.org/10.1038/s41598-023-39981-y |
work_keys_str_mv | AT greschuklucast asoilproductivitysystemrevealsmostbrazilianagriculturallandsarebelowtheirmaximumpotential AT demattejoseam asoilproductivitysystemrevealsmostbrazilianagriculturallandsarebelowtheirmaximumpotential AT silveronelidaeq asoilproductivitysystemrevealsmostbrazilianagriculturallandsarebelowtheirmaximumpotential AT rosinnicolasaugusto asoilproductivitysystemrevealsmostbrazilianagriculturallandsarebelowtheirmaximumpotential AT greschuklucast soilproductivitysystemrevealsmostbrazilianagriculturallandsarebelowtheirmaximumpotential AT demattejoseam soilproductivitysystemrevealsmostbrazilianagriculturallandsarebelowtheirmaximumpotential AT silveronelidaeq soilproductivitysystemrevealsmostbrazilianagriculturallandsarebelowtheirmaximumpotential AT rosinnicolasaugusto soilproductivitysystemrevealsmostbrazilianagriculturallandsarebelowtheirmaximumpotential |